Kiribati Road Surface and Passability Data with 2020-2024 Changes

Kiribati arterial road network data featuring AI-derived surface types, widths, and passability scores generated by HeiGIT from 2020 and 2024 PlanetScope imagery. The dataset covers approximately 100 km of roads, providing surface predictions for the 65% of segments that lack tags in OpenStreetMap.

Use Cases

• Assessing logistical accessibility for disaster response using the Humanitarian Passability Index (HPI) scores
• Identifying infrastructure development over time by analyzing the Road Surface Change (2020-2024) indicator
• Determining vehicle suitability for specific routes based on the Road Width Class (1-3) and OSM highway classification

Strengths

• 89.2% accuracy for surface model predictions
• Multi-temporal coverage comparing 2020 and 2024 conditions
• Standardized 6-point Humanitarian Passability Index for logistics

Limitations

• Small sample size of approximately 100 km of road
• Restricted to arterial road classifications
• AI-derived predictions may contain errors in tropical environments with high cloud cover

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

AI-derived analysis of PlanetScope satellite imagery combined with OpenStreetMap data

Time Range

2020-2024

Freshness

Last updated March 2026; contains imagery-derived data up to 2024.

Geography

Kiribati